My attempt at a ControlNet for generating artistic yet scannable QR codes using SDXL. Don't expect miracles, some images won't be scannable, or may require a specific angle / multiple attempts. How it works This model was not trained on real QR codes . Instead, it was trained on artistic images paired with binary grids created through adaptive thresholding (the same method QR scanners use to...
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Source description
My attempt at a ControlNet for generating artistic yet scannable QR codes using SDXL.
Don't expect miracles, some images won't be scannable, or may require a specific angle / multiple attempts.
How it works
This model was not trained on real QR codes . Instead, it was trained on artistic images paired with binary grids created through adaptive thresholding (the same method QR scanners use to read codes).
Base model : SDXL 1.0
Training data : ~1,700 SDXL-generated artistic images with dataset expansion tricks (via horizontal flips and rotations)
Conditioning : 29x29 module grids
Sources
1 sourceSource excerpts
3 excerptsMy attempt at a ControlNet for generating artistic yet scannable QR codes using SDXL. Don't expect miracles, some images won't be scannable, or may require a specific angle / multiple attempts. How it works This model was not trained on real QR codes .…
Custom loss : Grid preservation loss on top of standard MSE to directly optimize for grid fidelity
How to use
I used Anthony Fu's QR code generator .
Recommended settings:
Keep the size small. The model was trained on 29-module grids.
Keep the URL's short. Less data = better results.
Use the generated QR code as ControlNet input.
ControlNet strength : > 2 (around 2.6 worked well for me)
Prompts matter : Help the model create something with a lot of high contrast patterns.
This model responds best to high-contrast styles with sharp edges, like anime, geometric or pixel-like art patterns. Avoid prompts that fight the grid structure to much.
Support
Like this model? Consider buying me a coffee . If I can break even on production costs, I'd like to train an improved version.
My attempt at a ControlNet for generating artistic yet scannable QR codes using SDXL. Don't expect miracles, some images won't be scannable, or may require a specific angle / multiple attempts. How it works This model was not trained on real QR codes .…
QR - reverse adaptve thresholding
